We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visualization without the need for a pre or intra-operative imaging. Our method ?ts a statistical deformable model to sparse 3D data consisting of digitized landmarks and bone surface points. The method also allows the incorporation of non-spatial data such as patient height and weight. The statistical model is constructed using Principal Component Analysis (PCA) from a set of training objects. Our morphing method then computes a Mahalanobis distance weighted least square ?t of the model by solving a linear equation system. First experimental promising results with model generated from 14 femoral head are presented.
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi